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Usage of the build-in data structures and algorithms in Python as a quick sneak peek to prepare yourself for the Coding Interviews.

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Python for Coding Interviews

This repository is a comprehensive guide to using Python for coding interviews. It covers essential Python concepts, data structures, algorithms, and common patterns that are frequently tested in technical interviews. Whether you're preparing for a software engineering role or just brushing up on your Python skills, this repository will help you master the fundamentals and advanced topics needed to excel in coding interviews.

Table of Contents

  1. Variables and Data Types

    • Dynamic typing
    • Multiple assignments
    • Increment operations
    • None type
  2. Control Flow

    • If-statements
    • Loops (while and for)
    • Range-based loops
    • Multi-line conditions
  3. Math Operations

    • Division and rounding
    • Modulo operations
    • Math helpers (math.floor, math.ceil, math.sqrt, etc.)
    • Handling large numbers and infinity
  4. Arrays (Lists)

    • List operations (append, pop, insert, etc.)
    • List slicing and indexing
    • List comprehensions
    • 2D lists
  5. Strings

    • String manipulation
    • Immutability
    • String concatenation
    • ASCII values
  6. Queues

    • Using deque from the collections module
    • Queue operations (append, popleft, etc.)
  7. HashSets

    • Set operations (add, remove, etc.)
    • Set comprehensions
  8. HashMaps (Dictionaries)

    • Dictionary operations (insert, update, delete)
    • Dictionary comprehensions
    • Iterating through dictionaries
  9. Tuples

    • Immutable sequences
    • Using tuples as keys in dictionaries
  10. Heaps

    • Min-heaps and max-heaps
    • Heap operations (push, pop, heapify)
  11. Functions

    • Defining and calling functions
    • Nested functions
    • nonlocal keyword
  12. Classes

    • Defining classes and constructors
    • Member variables and methods
    • Example class usage

How to Use This Repository

  • Each section includes code examples that demonstrate key concepts.
  • You can run the code snippets in your local Python environment or an online Python interpreter.
  • Use this repository as a reference guide while practicing coding problems on platforms like LeetCode, HackerRank, or Codeforces.

Contributing

If you find any issues or have suggestions for improvement, feel free to open an issue or submit a pull request. Contributions are welcome!

License

This project is licensed under the MIT License. See the LICENSE file for details.


Happy coding and good luck with your interviews! 🚀

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Usage of the build-in data structures and algorithms in Python as a quick sneak peek to prepare yourself for the Coding Interviews.

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